Multi-Tag Search

Role

Product Designer

Problem framing, market research, interaction flow, wireframes, responsive UI, stakeholder reviews, and final handoff.

Project duration

4 weeks

Tools

Figma, ChatGpt

Sector

B2C Social Discovery Platform

Designed a multi-tag search experience that lets users combine multiple interests in one query and refine results without restarting their search.

Existing search patterns were too limiting for users trying to explore content across multiple interests at once.

LONG STORY SHORT

I led the design of a new multi-tag search experience to improve how users discover and filter content in a people-led platform.

I worked as a Product Designer on Swoice, owning the end-to-end design of the multi-tag search feature from concept to final UI, focusing on simplifying complex search interactions into an intuitive experience.

01 Design

Designed a multi-tag search system enabling users to combine multiple tags for faster discovery.

02 Product Thinking

Simplified complex search behavior into a clean, intuitive interaction flow across devices.

03 Build & Ship

Worked with stakeholders in a fast-paced setup to iterate and ship the feature within a month.

How might we help users discover content more efficiently using multiple tags?

Market research

To understand existing search behaviors, I explored how content discovery works across popular platforms.

I found that most platforms rely on single-search or filter-based systems, which limits flexible and intuitive exploration of content.

Given the project timeline, I used competitive analysis and established search patterns to inform the initial design direction.

So I used: competitive analysis, established search patterns, stakeholder context, and later usability checks to guide the direction.

MVP SCOPE

Based on market insights and core user needs, I defined the key areas for the MVP to improve content discovery and interaction.

The focus was to create a more personalized and structured experience for users interacting with the platform.

Add multiple tags within one search query.
Add or remove tags without resetting previous selections.
Update results dynamically as the query changes.
Support multiple search intents within one interaction.

User Flow

The flow was designed to let users progressively build and refine a query without restarting the search.

Key Interaction

The experience was designed around a simple idea:

Users should be able to combine multiple interests without restarting their search.

🔍

Tag Input

Users begin by entering a keyword or interest.

🏷

Multi Tag Search

Users can progressively add multiple tags to refine their intent.

💡

Tag Suggestions

System shows relevant tag suggestions while typing.

⚡

Dynamic Result

Results update instantly as tags change.

Final design

The final experience focused on making multi-intent search feel lightweight across desktop and mobile, while keeping tag addition, removal, and refinement visible and immediate.

Outcome

The shipped experience enabled users to combine and refine multiple tags without restarting their search, creating a more flexible content-discovery flow.